| --- |
| language: |
| - en |
| license: apache-2.0 |
| tags: |
| - t5-small |
| - text2text-generation |
| - natural language understanding |
| - conversational system |
| - task-oriented dialog |
| datasets: |
| - ConvLab/tm2 |
| metrics: |
| - Dialog acts Accuracy |
| - Dialog acts F1 |
|
|
| model-index: |
| - name: t5-small-nlu-tm2-context3 |
| results: |
| - task: |
| type: text2text-generation |
| name: natural language understanding |
| dataset: |
| type: ConvLab/tm2 |
| name: Taskmaster-2 |
| split: test |
| revision: cdc314b156e7f7ffa81a1e7398f1f8a2e86c0095 |
| metrics: |
| - type: Dialog acts Accuracy |
| value: 82.4 |
| name: Accuracy |
| - type: Dialog acts F1 |
| value: 74.3 |
| name: F1 |
|
|
| widget: |
| - text: "user: Hi, I'm looking for a flight. I need to visit a friend.\nsystem: Hello, how can I help you? Sure, I can help you with that. On what dates?\nuser: I'm looking to travel from March 20th to 22nd." |
| - text: "system: Anything else?\nuser: That should be everything.\nsystem: I found a flight for $424 on United Airlines.\nuser: Okay, is that for New York?" |
|
|
| inference: |
| parameters: |
| max_length: 100 |
|
|
| --- |
| |
| # t5-small-nlu-tm2-context3 |
|
|
| This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on [Taskmaster-2](https://huggingface.co/datasets/ConvLab/tm2) with context window size == 3. |
|
|
| Refer to [ConvLab-3](https://github.com/ConvLab/ConvLab-3) for model description and usage. |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 0.001 |
| - train_batch_size: 128 |
| - eval_batch_size: 64 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 256 |
| - optimizer: Adafactor |
| - lr_scheduler_type: linear |
| - num_epochs: 10.0 |
| |
| ### Framework versions |
| |
| - Transformers 4.18.0 |
| - Pytorch 1.10.2+cu102 |
| - Datasets 1.18.3 |
| - Tokenizers 0.11.0 |
| |
